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Improving Transportation Ops. and Mgmt through Data Integration

Improving Transportation Ops. and Mgmt through Data Integration

DataPalooza 6/3/2014 : Standards for Sharing Data Part 2

GTMA_USDOT_DataPalooza

June 27, 2014
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  1. • Many traffic management centers collecting large amounts of data:

    – Washington, D.C. TMC – Maryland CHART TMC – Northern Virginia TMC – Several Large County TMCs – Several Transit Agencies – Emergency Management Agencies – Computer Aided Dispatch • Coordination?!—does it exist? • How is safety and performance measured/analyzed? • How are investment decisions made? • Why isn’t there more innovation— private sector or otherwise? Transportation in and Around Washington D.C. 2
  2. Making it Happen: The Early Years Agency or System #1

    Agency or System #2 Agency or System #3
  3. Architectural & Policy Issues • Agencies weren’t ready for standards

    • Standards weren’t ready for agencies • Cost was too high per agency • Change Management terrors • Didn’t solve MOU issues • Bandwidth issues • No archive • Etc. • Etc. • Etc.
  4. Revised Mission • Still Facilitate Operations Coordination • Reduce Agency

    Operations Integration Costs • Reduce 3rd Party Developer Costs • Encourage and Facilitate Innovation by Others • Create an accessible transportation data archive for • Performance Reporting • Research • Operations • Planning • Decrease % of Wasted Research Dollars
  5. The current method • Central-ish aggregator • 1-stop shop •

    Cloud-esque • NSA phone-record-style storage, processing, and analysis techniques
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  7. But there were still problems! • Convince agencies to share

    their data with other partner agencies. No problem, right?! • Convince agencies to share their data with researchers. Might have some resistance • Convince agencies to share their data with the public. Maybe more challenging…
  8. How did we convince folks to share their data? •

    Strategy 1: Philosophical & Ethical Arguments about the greater good. • FAIL because… • Strategy 2: Legal justification. • FAIL (mostly) because… • Attempt 3: Funding. • FAIL because… • Attempt 4: Shame • Pseudo fail… • Attempt 5: Enlist an internal friend • Short term win, but long term fail…
  9. The Carrot: Give them Tools & Power!!! • Provide tools

    to make agency data • easily accessible, • usable, and • understandable To these managers, internal end users, and ITS applications… 12 © 2013 Michael L. Pack, UMD CATT Laboratory
  10. How much data are we getting today? • RITIS Today

    • Traffic events: 10,000 records per day: 0.001 Gb/day • Traffic detectors: 35,000,000 records per day: 5 Gb/day • Probe vehicle data: 4,200,000,000 records per day: 550 Gb/day • CCTV, weather, radio, etc: NO,STA,TSK,EPT records per day: ??? Tb/day • V2X & Automation data: ?,???,???,???,??? records per day: ??? ?b/day Our New Goal
  11. Usage Statistics & Growth Plans • 3500 Website Users •

    Hundreds of active feed subscribers (both public & private sector) • 50% Transportation • 50% “Other” –This is VERY Important!!! • 25 State DOTs • 300+ Agencies & Private Sector Providers • Over 1-Trillion Records Downloaded in 6- months Public Feeds Rolling out this Summer Users Include: • DOTs (Federal, State, and Local) • Transit Providers • Metropolitan Planning Organizations • Emergency Management Agencies • FEMA • US Army, Air Force, Navy, Coast Guard • NorthCom • U.S. Secret Service • U.S. Capitol & Park Police • Fire & Rescue • Law Enforcement (state & local) • U.S. Joint Forces Headquarters • NSA • US Office of Personnel Management • 3rd Party Trav Info Providers • University Researchers • Consultants working on projects for the DOTs • Social Security • Pentagon Force Protection • Etc.
  12. Mission Recap: Data Integration & Accessibility • Facilitate Operations Coordination

    • Reduce Agency Operations Integration Costs • Reduce 3rd Party Developer Costs • Encourage and Facilitate Innovation by Others • Decrease % of Wasted Research Dollars • Create an accessible transportation data archive for • Performance Reporting • Research • Operations • Planning
  13. Example 1: Statewide Reporting • You’ve been asked to provide

    a monthly state-wide congestion report to the Secretary. This report only needs to cover the interstates, but it needs to highlight where the worst congestion occurred (top 10 locations) and some basic stats about the severity of the congestion at each of these locations. You also need to let the Secretary know if the congestion is about the same, better, or worse than the previous 2-weeks. What do you do?
  14. Example 2: I just spent $200M, and all I got

    was this… • You just spent $200M on a 6-month major road widening project along that corridor you (and everybody else) hate. Some commuters are now complaining that things haven’t improved--- in fact, they claim things have gotten worse. You can see the headlines now: “$200M fattens road, shrinks commuter patience!” • What can you produce to show the true impact of this recent investment (positive or negative). © 2013 Michael L. Pack, UMD CATT Laboratory
  15. Answer #2: show me the money (User Delay Cost) ©

    2013 Michael L. Pack, UMD CATT Laboratory
  16. Winter Weather Worries • Snowmageddon 2011. There’s been a request

    from the Governor’s office to produce some examples that depict how bad traffic was during the January 26th, 2011 snow storm compared to normal weekday traffic. What can you show in just a few minutes? © 2013 Michael L. Pack, UMD CATT Laboratory
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  18. RITIS User Stats (as of May, 2014) Users Include: •

    DOTs (Federal, State, and Local) • Transit Providers • Metropolitan Planning Organizations • Emergency Management Agencies • FEMA • US Army, Air Force, Navy, Coast Guard • NorthCom • U.S. Secret Service • U.S. Capitol & Park Police • Fire & Rescue • Law Enforcement (state & local) • U.S. Joint Forces Headquarters • NSA • US Office of Personnel Management • 3rd Party Trav Info Providers • University Researchers • Consultants working on projects for the DOTs • Social Security • Pentagon Force Protection • Etc. • 3,500 Website Users • Tens of thousands of users via 3rd party applications 57